628 research outputs found

    Search for electron antineutrino interactions with the Borexino Counting Test Facility at Gran Sasso

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    Electron antineutrino interactions above the inverse beta decay energy of protons (E_\bar{\nu}_e>1.8) where looked for with the Borexino Counting Test Facility (CTF). One candidate event survived after rejection of background, which included muon-induced neutrons and random coincidences. An upper limit on the solar νˉe\bar{\nu}_{e} flux, assumed having the 8^8B solar neutrino energy spectrum, of 1.1×105\times10^{5} cm2^{-2}~s1^{-1} (90% C.L.) was set with a 7.8 ton ×\times year exposure. This upper limit corresponds to a solar neutrino transition probability, νeνˉe\nu_{e} \to \bar{\nu}_{e}, of 0.02 (90% C.L.). Predictions for antineutrino detection with Borexino, including geoneutrinos, are discussed on the basis of background measurements performed with the CTF.Comment: 10 pages, 9 figures, 5 table

    Pulse-Shape discrimination with the Counting Test Facility

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    Pulse shape discrimination (PSD) is one of the most distinctive features of liquid scintillators. Since the introduction of the scintillation techniques in the field of particle detection, many studies have been carried out to characterize intrinsic properties of the most common liquid scintillator mixtures in this respect. Several application methods and algorithms able to achieve optimum discrimination performances have been developed. However, the vast majority of these studies have been performed on samples of small dimensions. The Counting Test Facility, prototype of the solar neutrino experiment Borexino, as a 4 ton spherical scintillation detector immersed in 1000 tons of shielding water, represents a unique opportunity to extend the small-sample PSD studies to a large-volume setup. Specifically, in this work we consider two different liquid scintillation mixtures employed in CTF, illustrating for both the PSD characterization results obtained either with the processing of the scintillation waveform through the optimum Gatti's method, or via a more conventional approach based on the charge content of the scintillation tail. The outcomes of this study, while interesting per se, are also of paramount importance in view of the expected Borexino detector performances, where PSD will be an essential tool in the framework of the background rejection strategy needed to achieve the required sensitivity to the solar neutrino signals.Comment: 39 pages, 17 figures, submitted to Nucl. Instr. Meth.

    Systematic study of trace radioactive impurities in candidate construction materials for EXO-200

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    The Enriched Xenon Observatory (EXO) will search for double beta decays of 136Xe. We report the results of a systematic study of trace concentrations of radioactive impurities in a wide range of raw materials and finished parts considered for use in the construction of EXO-200, the first stage of the EXO experimental program. Analysis techniques employed, and described here, include direct gamma counting, alpha counting, neutron activation analysis, and high-sensitivity mass spectrometry.Comment: 32 pages, 6 figures. Expanded introduction, added missing table entry. Accepted for publication in Nucl. Instrum. Meth.

    New limits on heavy sterile neutrino mixing in 8B{^{8}\rm{B}}-decay obtained with the Borexino detector

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    If heavy neutrinos with mass mνHm_{\nu_{H}}\geq2me m_e are produced in the Sun via the decay 8B8Be+e++νH{^8\rm{B}} \rightarrow {^8\rm{Be}} + e^+ + \nu_H in a side branch of pp-chain, they would undergo the observable decay into an electron, a positron and a light neutrino νHνL+e++e\nu_{H}\rightarrow\nu_{L}+e^++e^-. In the present work Borexino data are used to set a bound on the existence of such decays. We constrain the mixing of a heavy neutrino with mass 1.5 MeV mνH\leq m_{\nu_{H}} \le 14 MeV to be UeH2(1034×106)|U_{eH}|^2\leq (10^{-3}-4\times10^{-6}) respectively. These are tighter limits on the mixing parameters than obtained in previous experiments at nuclear reactors and accelerators.Comment: 7 pages, 6 figure

    Measurement of the Spectral Shape of the beta-decay of 137Xe to the Ground State of 137Cs in EXO-200 and Comparison with Theory

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    We report on a comparison between the theoretically predicted and experimentally measured spectra of the first-forbidden non-unique β\beta-decay transition ^{137}\textrm{Xe}(7/2^-)\to\,^{137}\textrm{Cs}(7/2^+). The experimental data were acquired by the EXO-200 experiment during a deployment of an AmBe neutron source. The ultra-low background environment of EXO-200, together with dedicated source deployment and analysis procedures, allowed for collection of a pure sample of the decays, with an estimated signal-to-background ratio of more than 99-to-1 in the energy range from 1075 to 4175 keV. In addition to providing a rare and accurate measurement of the first-forbidden non-unique β\beta-decay shape, this work constitutes a novel test of the calculated electron spectral shapes in the context of the reactor antineutrino anomaly and spectral bump.Comment: Version as accepted by PR

    Search for Neutrinoless Double-Beta Decay in 136^{136}Xe with EXO-200

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    We report on a search for neutrinoless double-beta decay of 136^{136}Xe with EXO-200. No signal is observed for an exposure of 32.5 kg-yr, with a background of ~1.5 x 10^{-3} /(kg yr keV) in the ±1σ\pm 1\sigma region of interest. This sets a lower limit on the half-life of the neutrinoless double-beta decay T1/20νββT_{1/2}^{0\nu\beta\beta}(136^{136}Xe) > 1.6 x 1025^{25} yr (90% CL), corresponding to effective Majorana masses of less than 140-380 meV, depending on the matrix element calculation

    Deep Neural Networks for Energy and Position Reconstruction in EXO-200

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    We apply deep neural networks (DNN) to data from the EXO-200 experiment. In the studied cases, the DNN is able to reconstruct the relevant parameters - total energy and position - directly from raw digitized waveforms, with minimal exceptions. For the first time, the developed algorithms are evaluated on real detector calibration data. The accuracy of reconstruction either reaches or exceeds what was achieved by the conventional approaches developed by EXO-200 over the course of the experiment. Most existing DNN approaches to event reconstruction and classification in particle physics are trained on Monte Carlo simulated events. Such algorithms are inherently limited by the accuracy of the simulation. We describe a unique approach that, in an experiment such as EXO-200, allows to successfully perform certain reconstruction and analysis tasks by training the network on waveforms from experimental data, either reducing or eliminating the reliance on the Monte Carlo.Comment: Accepted version. 33 pages, 28 figure
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